Reliability-based design of sight distance at railroad grade crossings
The existing method of sight distance design at railroad crossings is deterministic. This paper presents a probabilistic method that accounts for the variations of the component design variables and their correlations. Two cases are considered. Case 1 addresses the sight distance needs along the highway and the railroad for an approaching vehicle. Case 2 addresses the sight distance needs along the railroad for a stopped vehicle. The probabilistic method is based on the advanced first-order second moment of reliability analysis. Case 1 is modeled as a system with two parallel components. The probability of failure of each component and the system probability of failure are developed. Case 2 is modeled as a single-component system, and a design graph for sight distance needs along the railroad is presented. The method is validated using Monte Carlo simulation; its application is illustrated using numerical examples; and the sensitivity of the design variables is examined. The proposed method should result in safer operations at railroad grade crossings.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 28 (1994)
Issue (Month): 1 (January)
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:28:y:1994:i:1:p:1-15. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.